model based systems engineering Archives

Yashica Chopra
May 07, 2025
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Top MBSE Consulting Companies Driving Transformation in the USA

Model-based systems engineering revamps the engineering models through digital modeling and system design. It is an effective solution to simplify systems for making informed decisions. Here, we’ll discuss the top MBSE consulting companies offering expert services in the US. Data and design systems are complex and contain many elements that power the entire setup. As businesses expand, these systems become harder to maintain and track, especially if you don’t use new technology. MBSE (Model-Based Systems Engineering) is a relatively new solution that simplifies engineering systems by introducing digital modeling to improve transparency, increase collaboration, enhance communication, and promote efficiency. While MBSE is useful in most industries, it is actively adopted by enterprises from aerospace, aviation, automotive, manufacturing, defense, government, etc. Statistics show that the global MBSE tool market is expected to be $2.5 billion in 2025 and is projected to grow at a CAGR (compound annual growth rate) of 15%. The same report indicates that the market share is widely divided between top players like Siemens, IBM, and Dassault Systèmes (CATIA Magic), though other vendors also offer comprehensive MBSE software. According to Business Research Insights, the global model-based systems engineering market was $3.31 billion in 2024 and is projected to reach $13.09 billion in 2033 at a CAGR of 16.5%. In this blog, we’ll read more about model-based systems engineering and the top ten MBSE consulting companies in the USA you can partner with. What is MBSE and Why is it Important for Businesses? MBSE uses digital modeling and simulation to design systems, create connections, and build a network of applications, software, and interfaces. This is done to increase its efficiency and maintain clear documentation of the processes. It also reduces the risk of errors and promotes better collaboration between teams. Furthermore, MBSE makes the systems and outcomes more consistent and increases overall quality. Unlike traditional systems, it is easy to upgrade and maintain on-premises and on cloud platforms. Typically, MBSE consulting companies in the USA offer tailored solutions to help enterprises implement model-based systems engineering in their processes. They use the advanced MBSE tools and frameworks developed by tech giants to provide relevant services to clients. With MBSE, you can focus on the core operations and factors like product design, safety standards, efficiency, resource optimization, risk management, etc., instead of managing complex systems and writing lengthy documentation. A few MBSE examples are as follows: Top MBSE Consulting Companies in the USA DataToBiz DataToBiz is one of the leading data engineering companies with a global client base. The award-winning company offers custom MBSE consulting and end-to-end services for businesses from diverse industries like automotive, manufacturing, healthcare, and many more. As a certified partner of Microsoft (Gold), Google, and AWS, the company specializes in building tailored data warehouses to create a single source of truth to power the model-based systems engineering solution. It has a team of experienced and certified professionals to set up and implement the latest MBSE software solutions available in the market. The company can build the infrastructure on Microsoft Azure or AWS to create a reliable, flexible, scalable, and agile cloud-based model to introduce digital engineering in businesses. DataToBiz also provides data analytics, advanced analytics, and data visualizations through powerful AI and ML tools like Power BI, Tableau, etc. The company’s expertise in IaaS solutions has helped numerous enterprises seamlessly adopt MBSE solutions to achieve their objectives. STC Arcfield STC is an Arcfield company working with Model-Based Systems Engineering tools to help clients increase understanding and make informed decisions. Its model engineering and digital engineering practitioners have years of experience in providing advanced MBSE solutions in the government and commercial sectors. The company revolutionizes systems engineering through digital modeling to simplify complex systems and streamline the decision-making process. It provides the required tools, services, and training to clients in the US to drive innovation and growth. STC offers MBSE as a service along with consulting solutions to leverage the digital engineering ecosystem in a range of disciplines. The company provides complete support to clients to use cutting-edge technologies and custom-designed MBSE tools in their organizations to achieve their goals. It also develops next-gen digital engineering solutions for the US Army. Intercax Intercax is one of the well-known MBSE consulting companies in the USA. It is a pioneer global innovator in the field of digital engineering. The experts have worked on creating a robust solution to streamline and link engineering models for varied requirements. The company launched Syndeia, its digital thread platform for integrated digital engineering, in 2014. The software connects, compares, and synchronizes existing engineering tools in a business. It can be integrated using Rest APIs and has many server-based applications along with user interfaces to share the outcomes with end users (employees). The company also provides training services to use the software. Additionally, it offers IT support services and custom software development solutions for clients. Intercax has more products like ParaMagic®, a plug-in for Magic Draw to enable dynamic SysML models. It has a presence in the aerospace, automotive, healthcare, defense, IoT (Internet of Things), manufacturing, and other industries. SSA Systems Strategies and Analysis (SSA, Inc.) is a small business owned by women and minorities. It is a systems engineering and program management company offering cost-effective services and MBSE consulting solutions for clients from aerospace, IT, and other industries. The company helps with designing, building, integrating, and operating enterprise-wide complex MBSE software to handle the ever-changing requirements of a business. Expert engineering can identify potential problems in the early stages of design to reduce the risk rate. The company collaborates with Intercax to provide self-paced online training programs for MBSE consulting. SSA, Inc. empowers clients to increase system performance and quality standards, boost revenue, and get into better collaborative partnerships with other businesses. Its consulting services focus on MBSE engineering best practices and the ways to implement effective tactics to achieve business objectives. ETAS ETAS empowers tomorrow’s automotive software with its next-gen solutions and tailored services for Model-Based Systems Engineering adoption and implementation in the industry.

Yashica Chopra
February 26, 2025
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Model-Based Systems Engineering: Is It for You?

MBSE is a new process that promotes the use of digital modeling and systems to enhance system lifecycle management. Here, we’ll discuss model-based systems engineering, its components, processes, tools, and benefits for enterprises in any industry in detail. Model-based systems engineering (MBSE) is a process or methodology in which different models and tools support a system’s lifecycle and track data through digital threads. It differs from traditional systems engineering, which uses text-based documentation and manual processes. In MBSE, digital modeling and simulations are used for interactions between various interfaces in the network. The global model-based systems engineering market is expected to reach $7310.9 million by the end of 2030 with a CAGR (compound annual growth rate) of 15.8%. A couple of years ago, North America led the global market with a share of 35%, followed by Asia Pacific at 30% and Europe at 20%. Another report shows that cloud-based MBSE software will be widely used compared to on-premises solutions by 2033. MBSE reduces errors, increases transparency, and improves system efficiency across the various stages of lifecycle development. It can be implemented in various industries like IT, manufacturing, healthcare (medical devices), automotive, aerospace, defense, electrical and electronics, etc. In this blog, we’ll read more about MBSE and how enterprises can benefit from partnering with data engineering consulting firms to implement model-based systems engineering in their processes. Main Components of Model-Based Systems Engineering Software MBSE makes analyzing, optimizing, and managing complex systems easier to achieve accurate designs and efficient outcomes. The MBSE framework has many components, tools, and languages. The main components are as follows: Modeling Language The modeling language is required to create the system models. Different modeling languages are available, such as SysML (systems modeling language) and UML (unified modeling language). Engineers may also use domain-specific language for better customization and accurate results. Model Management Tools Model management tools are used to create, organize, and manage the system models, view and analyze the results, set up collaborations between different team members and teams working on the project, and give engineers access to make changes to the data and system models. The model management tools allow experts to work together remotely and track developments. Simulation and Analysis Tools Simulations are a big part of MBSE. These tools allow engineers to create simulations for different combinations and record the outcomes. Then, analysis tools are used to understand the best-case scenario to optimize the system’s performance. Additionally, glitches and errors can be identified and eliminated in the early stages. Requirements Management Tools These tools are used to understand, monitor, and trace system requirements in the product lifecycle development process. Digital data sharing for system interaction is one of the model-based systems engineering fundamentals. Requirements management tools ensure data capturing and sharing are seamless and performed in real time. Integration Tools The MBSE software doesn’t exist in isolation. It has to be integrated with third-party tools and applications like a project management tool, configuration management tool, etc. The integration tools and APIs allow automated data flow between systems and create connections between interfaces to encourage better collaborations. Steps in Model-Based Systems Engineering Approach The MBSE process/ approach has a series of steps, where the enterprise or the service provider lists the requirements of the project. The last step is more of a continuous process where the MBSE consulting company provides long-term support to maintain and upgrade the tools whenever necessary. 1. Understand the Requirements Define the system requirements by identifying the needs of the stakeholders (management, employees, investors, customers, etc.). The system requirements should align with the end goal of the business. MBSE tools with built-in ‘requirements view’ can be used to sort and arrange the data for better understanding. Factors like types of resources, budget, timeline, expertise, etc., should also be factored into the requirements. Businesses should determine if they want an in-house team to work on the project or if they wish to collaborate with data engineering and top MBSE companies. 2. Design the System Based on the requirements model, the expert team will create the system design and workflow. This design has to be reliable, scalable, accurate, and cost-effective. It should also align with the long-term business objectives. For example, the design cannot be rigid or fixed. This increases costs over time as the enterprise has to start from scratch every time it needs to upgrade or enhance the model. Create a detailed flowchart with the components, required tools, and workflows. 3. Behavior Modeling For effective model-based systems engineering training, it is crucial to understand how the system will work in different scenarios. The engineers will develop a model to capture the system’s behavior in various conditions and store the data for further analysis. Having a robust data warehouse or a central data repository is essential to collect, clean, and store the data digitally. Typically, it is recommended to build a cloud-based data warehouse that’s compatible with third-party integrations and can adhere to data security regulations. 4. Analyze the Risks Risk analysis is another vital part of the MBSE process. This step should not be skipped. Here, various risks associated with the system (under development) are identified and recorded. The risks are analyzed by experts to find proper feasible solutions for enhancing the safety, accuracy, and efficiency of the system. Risk analysis helps the team to take the necessary measures in fortifying the process with proactive measures to mitigate risky scenarios. Ultimately, this increases the success rate and results in powerful systems. 5. Validate and Verify Once the models are designed, they have to be validated and verified before being implemented in the enterprise. This is done to ensure the model is accurate and aligns with the requirements, is capable of handling the workload, and can deliver the expected outcomes without affecting cost or quality. Different MBSE tools can be used in this step to create diverse environments to measure and validate the model’s performance. Factors like system requirements, model capacity, expected results, actual results, resources consumed, etc., are